Set-label modeling and deep metric learning on person re-identification

Neurocomputing

Volumn 151, Issue P3, 2015, Pages 1283-1292

  Liu, Hao ^a   Ma, Bingpeng ^a   Qin, Lei ^b   Pang, Junbiao ^c   Zhang, Chunjie ^a   Huang, Qingming ^a,b  

^a UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^b INSTITUTE OF COMPUTING TECHNOLOGY   (China)

^c BEIJING UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Deep learning; Metric learning; Mutual information; Neighborhood component analysis; Person re identification

Indexed keywords

IMAGE ENHANCEMENT;

DEEP BELIEF NETWORKS; METRIC LEARNING; MUTUAL INFORMATIONS; NEAREST NEIGHBOR ALGORITHM; NEIGHBORHOOD COMPONENT ANALYSIS; PERSON RE IDENTIFICATIONS; QUERY IMAGES; STATE-OF-THE-ART METHODS;

DEEP LEARNING;

ARTICLE; AUTOMATED PATTERN RECOGNITION; CALCULATION; CAMERA; COMPARATIVE EFFECTIVENESS; CONTROLLED STUDY; DEEP NON LINEAR METRIC LEARNING; EXPERIMENTAL DESIGN; EXPERIMENTAL STUDY; HUMAN; IMAGE ANALYSIS; IMAGE DISPLAY; IMAGE PROCESSING; IMAGE QUALITY; MACHINE LEARNING; NAIVE BAYES NEAREST NEIGHBOR ALGORITHM; PERSON REIDENTIFICATION; SET LABEL MODELING; VALIDATION STUDY;

EID: 84918523025     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2014.11.002     Document Type: Article

References (33)

1. W. Schwartz, L. Davis, Learning discriminative appearance-based models using partial least squares, in: Computer Graphics and Image Processing, 2009.
2. D. Gray, H. Tao, Viewpoint invariant pedestrian recognition with an ensemble of localized features, in: European Conference on Computer Vision, 2008.
3. M. Farenzena, L. Bazzani, A. Perina, V. Murino, M. Cristani, Person re-identification by symmetry-driven accumulation of local features, in: IEEE Conference on Computer Vision and Pattern Recognition, 2010.
4. L. Bazzani, M. Cristani, A. Perina, M. Farenzena, V. Murino, Multiple-shot person re-identification by HPE signature, in: International Conference on Pattern Recognition, 2010.
5. B. Ma, Y. Su, F. Jurie, Bicov: a novel image representation for person re-identification and face verification, in: British Machine Vision Conference, 2012.
6. R. Layne, T. Hospedales, S. Gong, Person re-identification by attributes, in: British Machine Vision Conference, 2012.
7. B. Ma, Y. Su, F. Jurie, Local descriptors encoded by Fisher vectors for person re-identification, in: International Workshop Conjunction with European Conference on Computer Vision, 2012, pp. 413-422.
8. M. Kostinger, M. Hirzer, P. Wohlhart, P. Roth, H. Bischof, Large scale metric learning from equivalence constraints, in: IEEE Conference on Computer Vision and Pattern Recognition, 2012.
9. M. Hirzer, P. Roth, M. Kstinger, H. Bischof, Relaxed pairwise learned metric for person re-identification, in: European Conference on Computer Vision, 2012.
10. W. Zheng, S. Gong, T. Xiang, Transfer re-identification: from person to set-based verification, in: IEEE Conference on Computer Vision and Pattern Recognition, 2012.
11. W. Zheng, S. Gong, T. Xiang, Person re-identification by probabilistic relative distance comparison, in: IEEE Conference on Computer Vision and Pattern Recognition, 2011.
12. O. Boiman, E. Shechtman, M. Irani, In defense of nearest-neighbor based image classification, in: IEEE Conference on Computer Vision and Pattern Recognition, 2008.
13. R. Salakhutdinov, G. Hinton, Learning a nonlinear embedding by preserving class neighbourhood structure, in: International Conference on Artificial Intelligence and Statistics, 2004.
14. G. Hinton, R. Salakhutdinov, Reducing the dimensionality of data with neural networks, vol. 313, 2006, pp. 504-507.
15. L. Qin, W. Gao, Image matching based on a local invariant descriptor, in: IEEE International Conference on Image Processing, vol. 3, 2005, pp. 77-80.
16. J. Davis, B. Kulis, P. Jain, S. Sra, D. Suvrit, S. Inderjit, Information-theoretic metric learning, in: International Conference on Machine Learning, 2007.
17. K. Weinberger, J. Blitzer, L. Saul, Distance Metric Learning for Large Margin Nearest Neighbor Classification, vol. 18, 2006, p. 1473.
18. T. Avraham, I. Gurvich, M. Lindenbaum, S. Markovitch, Learning implicit transfer for person re-identification, in: International Workshop Conjunction with European Conference on Computer Vision, 2012, pp. 381-390.
19. J. Yuan, Z. Liu, Y. Wu, Discriminative subvolume search for efficient action detection, in: IEEE Conference on Computer Vision and Pattern Recognition, 2009.
20. S.H. Khan, M. Bennamoun, F. Sohel, R. Togneri, Automatic feature learning for robust shadow detection, in: IEEE Conference on Computer Vision and Pattern Recognition, 2014.
21. J. Donahue, Y. Jia, O. Vinyals, J. Hoffman, N. Zhang, E. Tzeng, T. Darrell, Decaf: a deep convolutional activation feature for generic visual recognition, in: International Conference on Machine learning, 2014.
22. R.B. Girshick, J. Donahue, T. Darrell, J. Malik, Rich feature hierarchies for accurate object detection and semantic segmentation, in: IEEE Conference on Computer Vision and Pattern Recognition, 2014.
23. M. Oquab, L. Bottou, I. Laptev, J. Sivic, Learning and transferring mid-level image representations using convolutional neural networks, in: IEEE Conference on Computer Vision and Pattern Recognition, 2014.
24. P. Sermanet, D. Eigen, X. Zhang, M. Mathieu, R. Fergus, Y. LeCun, Overfeat: integrated recognition, localization and detection using convolutional networks, in: International Conference on Learning Representations, 2014.
25. A.S. Razavian, H. Azizpour, J. Sullivan, S. Carlsson, Cnn features off-the-shelf: an astounding baseline for recognition, in: IEEE Conference on Computer Vision and Pattern Recognition: DeepVision Workshop, 2014.
26. Y. Liu, L. Qin, Z. Cheng, Y. Zhang, W. Zhang, Q. Huang, Da-ccd: a novel action representation by deep architecture of local depth feature, in: IEEE International Conference on Image Processing, 2014.
27. G. Hinton, S. Osindero, Y. Teh, A fast learning algorithm for deep belief nets, in: Neural Computation, vol. 18, 2006, pp. 1527-1554.
28. R. Salakhutdinov, Learning deep Boltzmann machines using adaptive MCMC, in: International Conference on Machine Learning, 2010.
29. R. Salakhutdinov, G. Hinton, Deep Boltzmann machines, in: International Conference on Artificial Intelligence and Statistics, 2009.
30. B. Prosser, W. Zheng, S. Gong, T. Xiang, Q. Mary, Person re-identification by support vector ranking, in: British Machive Vision Conference, 2010.
31. W. Zheng, S. Gong, T. Xiang, Re-identification by Relative Distance Comparison, vol. 35, 2013, pp. 653-668.
32. E. Xing, A. Ng, M. Jordan, S. Russell, Distance metric learning with application to clustering with side-information, in: Advances in Neural Information Processing Systems, 2002.
33. A. Globerson, S. Roweis, Metric learning by collapsing classes, in: Advances in Neural Information Processing Systems, 2005.